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A New Method of Hypothesis Test for Truncated Spline Nonparametric Regression Influenced by Spatial Heterogeneity and Application
المؤلفون المشاركون
Sifriyani, Alexander
Budiantara, I. N.
Kartiko, S. H.
Gunardi, S. H.
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-09-12
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
This study developed a new method of hypothesis testing of model conformity between truncated spline nonparametric regression influenced by spatial heterogeneity and truncated spline nonparametric regression.
This hypothesis test aims to determine the most appropriate model used in the analysis of spatial data.
The test statistic for model conformity hypothesis testing was constructed based on the likelihood ratio of the parameter set under H0 whose components consisted of parameters that were not influenced by the geographical factor and the set under the population parameter whose components consisted of parameters influenced by the geographical factor.
We have proven the distribution of test statistics V and verified that each of the numerators and denominators in the statistic test V followed a distribution of χ2.
Since there was a symmetric and idempotent matrix S, it could be proved that Y~TS Y~/σ2~χn-lm-12.
Matrix Dui,vi was positive semidefinite and contained weighting matrix Wui,vi which had different values in every location; therefore matrix Dui,vi was not idempotent.
If Y~TDui,viY~≥0 and Dui,vi was not idempotent and also Y~ was a N0,I distributed random vector, then there were constants k and r; hence Y~TDui,viY~~kχr2; therefore it was concluded that test statistic V followed an F distribution.
The modeling is implemented to find factors that influence the unemployment rate in 38 areas in Java in Indonesia.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sifriyani, Alexander& Budiantara, I. N.& Kartiko, S. H.& Gunardi, S. H.. 2018. A New Method of Hypothesis Test for Truncated Spline Nonparametric Regression Influenced by Spatial Heterogeneity and Application. Abstract and Applied Analysis،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1114315
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sifriyani, Alexander…[et al.]. A New Method of Hypothesis Test for Truncated Spline Nonparametric Regression Influenced by Spatial Heterogeneity and Application. Abstract and Applied Analysis No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1114315
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sifriyani, Alexander& Budiantara, I. N.& Kartiko, S. H.& Gunardi, S. H.. A New Method of Hypothesis Test for Truncated Spline Nonparametric Regression Influenced by Spatial Heterogeneity and Application. Abstract and Applied Analysis. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1114315
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1114315
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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